Rank-based regression for analysis of repeated measures

被引:21
|
作者
Wang, You-Gan [1 ]
Zhu, Min [1 ]
机构
[1] CSIRO Math & Informat Sci, Leeuwin Ctr, Floreat, WA 6014, Australia
关键词
bootstrap; covariance model; dependent data; estimating function; longitudinal data; rank estimation; repeated measures; Wilcoxon method;
D O I
10.1093/biomet/93.2.459
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We consider rank-based regression models for repeated measures. To account for possible withinsubject correlations, we decompose the total ranks into between- and within-subject ranks and obtain two different estimators based on between- and within-subject ranks. A simple perturbation method is then introduced to generate bootstrap replicates of the estimating functions and the parameter estimates. This provides a convenient way for combining the corresponding two types of estimating function for more efficient estimation.
引用
收藏
页码:459 / 464
页数:6
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